Health
mindset <- table(df$Mindset.Motivated.Yes.Lazy.No.)
barplot(mindset,xlab="Mindset",ylab="Number of days",main="Positive Mindset in 113 days",ylim=c(0,113),cex.main =1,cex.lab=1,col="lightblue",width = c(0.1))
q <- table(df$Focus.Level..1.worst.5.best.,df$Meditation)
q_prop <- round(prop.table(q,margin = 2),2)*100
p <- addmargins(q)
rownames(p) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t <- as.matrix(p)
z <- data.frame(q_prop)
colnames(z) <- c("Focus_Level","Meditation_Status","Count")
fig1 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Meditation:No</b>","<b>Meditation:Yes</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t),
t(as.matrix(unname(t)))
),
align = c('left', rep('center', ncol(t))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig1
plot_1 <-ggplot(z, aes(fill=Meditation_Status, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 4)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF MEDITATION ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-1",fill="Meditation Done")+coord_flip()
plot_1
q1 <- table(df$Focus.Level..1.worst.5.best.,df$Exercise)
q1_prop <- round(prop.table(q1,margin = 2),2)*100
p1 <- addmargins(q1)
rownames(p1) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t1 <- as.matrix(p1)
z1 <- data.frame(q1_prop)
colnames(z1) <- c("Focus_Level","Exercise_Status","Count")
fig3 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Exercise:No</b>","<b>Exercise:Yes</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t1))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t1),
t(as.matrix(unname(t1)))
),
align = c('left', rep('center', ncol(t))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig3
plot_2 <-ggplot(z1, aes(fill=Exercise_Status, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 4)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF EXERCISE ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-2",fill="Exercise Done")+coord_flip()
plot_2
q2 <- table(df$Focus.Level..1.worst.5.best.,df$Reading..Doesn.t.include.Studying.)
q2_prop <- round(prop.table(q2,margin = 2),2)*100
p2 <- addmargins(q2)
rownames(p2) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t2 <- as.matrix(p2)
z2 <- data.frame(q2_prop)
colnames(z2) <- c("Focus_Level","Reading_Status","Count")
fig3 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Reading:No</b>","<b>Reading:Yes</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t2))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t2),
t(as.matrix(unname(t2)))
),
align = c('left', rep('center', ncol(t2))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig3
plot_3 <-ggplot(z2, aes(fill=Reading_Status, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 4)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF READING ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-3",fill="Reading Done")+coord_flip()
plot_3
q3 <- table(df$Focus.Level..1.worst.5.best.,df$Mindset.Motivated.Yes.Lazy.No.)
q3_prop <- round(prop.table(q3,margin = 2),2)*100
p3 <- addmargins(q3)
rownames(p3) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t3 <- as.matrix(p3)
z3 <- data.frame(q3_prop)
colnames(z3) <- c("Focus_Level","Mindset_Status","Count")
fig4 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Mindest Positive:No</b>","<b>Mindset Positive:Yes</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t2))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t3),
t(as.matrix(unname(t3)))
),
align = c('left', rep('center', ncol(t2))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig4
plot_4 <-ggplot(z3, aes(fill=Mindset_Status, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 4)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF MINDSET ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-4",fill="Mindset Positive")+coord_flip()
plot_4
q4 <- table(df$Focus.Level..1.worst.5.best.,df$Diet..1..worst..to.5..best.)
q4_prop <- round(prop.table(q4,margin = 2),2)*100
p4 <- addmargins(q4)
rownames(p4) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t4 <- as.matrix(p4)
z4 <- data.frame(q4_prop)
colnames(z4) <- c("Focus_Level","Diet_Level","Count")
fig5 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Diet Levels:1</b>","<b>2</b>","<b>3</b>","<b>4</b>","<b>5</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t4))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t4),
t(as.matrix(unname(t4)))
),
align = c('left', rep('center', ncol(t4))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig5
plot_5 <-ggplot(z4, aes(fill=Diet_Level, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 3)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF DIET LEVEL ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-5",fill="Diet Level(1=Worst,5=Best)")+coord_flip()
plot_5
ggplot(data = df) +
geom_mosaic(aes(x = product(Diet..1..worst..to.5..best., Focus.Level..1.worst.5.best.), fill = Diet..1..worst..to.5..best.),
na.rm=TRUE) +
labs(x = "Focus Level",
y = "Proportion",
title="Focus Time by Diet Levels",
subtitle = "Left - Right = (1) <10 mins - (5) >90 mins",
caption = "Data Source:Bidit Notion Personal Database",
tag="Fig-5") +
scale_fill_manual(values=c("#440145FF", "#404788FF", "#238A8DFF", "#55C667FF", "#FDE725FF"),
name="Diet Levels",
breaks=c("1", "2", "3", "4", "5"),
labels=c("1 - Worst", "2", "3", "4", "5 - Best")) +
theme_minimal() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
q5 <- table(df$Focus.Level..1.worst.5.best.,df$Health.Condition..5.Best..1.worst.)
q5_prop <- round(prop.table(q5,margin = 2),2)*100
p5 <- addmargins(q5)
rownames(p5) <- c("<=10min","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins","Sum")
t5 <- as.matrix(p5)
z5 <- data.frame(q5_prop)
colnames(z5) <- c("Focus_Level","Health_Condition","Count")
fig6 <- plot_ly(
type = 'table',
header = list(
values = c("<b>Focussed Time</b>", "<b>Health Condition:1</b>","<b>2</b>","<b>3</b>","<b>4</b>","<b>5</b>","<b>Sum</b>"),
align = c('left', rep('center', ncol(t5))),
line = list(width = 1, color = 'black'),
fill = list(color = 'rgb(235, 100, 230)'),
font = list(family = "Arial", size = 14, color = "white")
),
cells = list(
values = rbind(
rownames(t5),
t(as.matrix(unname(t5)))
),
align = c('left', rep('center', ncol(t5))),
line = list(color = "black", width = 1),
fill = list(color = c('rgb(235, 193, 238)', 'rgba(228, 222, 249, 0.65)')),
font = list(family = "Arial", size = 12, color = c("black"))
))
fig6
plot_6 <-ggplot(z5, aes(fill=Health_Condition, y=Count, x=Focus_Level)) +
geom_bar(position="dodge", stat="identity",colour="black")+theme_minimal() + geom_text(aes(label = paste(Count,"%",sep = "")), fontface = "bold", vjust = .5, position = position_dodge(0.9), size = 3)+scale_x_discrete(labels=c("<=10 mins","10 to 30 mins","30 to 60 mins","60 to 90 mins",">90 mins"))+xlab("Focus Time")+ylab("Percentage")+labs(title="EFFECT OF HEALTH CONDITION ON FOCUS TIME",caption = "Data Source:Bidit Personal Notion Database",tag = "Figure-6",fill="Health Condition(1=Worst,5=Best)")+coord_flip()
plot_6
ggplot(data = df) +
geom_mosaic(aes(x = product(Health.Condition..5.Best..1.worst., Focus.Level..1.worst.5.best.), fill = Health.Condition..5.Best..1.worst.),
na.rm=TRUE) +
labs(x = "Focus Level",
y = "Proportion",
title="Focus Time by Health Condition",
subtitle = "Left - Right = (1) <10 mins - (5) >90 mins",
caption = "Data Source:Bidit Notion Personal Database",
tag="Fig-6") +
scale_fill_manual(values=c("#440145FF", "#404788FF", "#238A8DFF", "#55C667FF", "#FDE725FF"),
name="Health Condition",
breaks=c("1", "2", "3", "4", "5"),
labels=c("1 - Worst", "2", "3", "4", "5 - Best")) +
theme_minimal() +
theme(panel.grid.major = element_blank(),
panel.grid.minor = element_blank())
